Molecular signatures from omics data: From chaos to consensus

Biotechnology Journal

Volumn 7, Issue 8, 2012, Pages 946-957

  Sung, Jaeyun ^a,b   Wang, Yuliang ^a,b   Chandrasekaran, Sriram ^a,c   Witten, Daniela M ^d   Price, Nathan D ^a,b,c  

^a INSTITUTE FOR SYSTEMS BIOLOGY   (United States)

^b UNIVERSITY OF ILLINOIS AT URBANA CHAMPAIGN   (United States)

^c UNIVERSITY OF ILLINOIS AT URBANA CHAMPAIGN   (United States)

^d UNIVERSITY OF WASHINGTON   (United States)

Author keywords

Diagnostics; Disease classification; Systems biology; Translational bioinformatics

Indexed keywords

CLINICAL PRACTICES; DATA SETS; DIAGNOSE DISEASE; DISEASE CLASSIFICATION; DISEASE STATE; EXPERIMENTAL CONDITIONS; HIGH RESOLUTION; INDIVIDUAL CELLS; MOLECULAR MEASUREMENTS; MOLECULAR SIGNATURES; PERSONALIZED MEDICINES; REPRODUCIBILITIES; SYSTEMS BIOLOGY;

BIOINFORMATICS; COMPUTER AIDED DIAGNOSIS; PLASMA DIAGNOSTICS; TISSUE;

DISEASE CONTROL;

GENE TECHNOLOGY; GENOMICS; HUMAN; METABOLOMICS; MOLECULAR BIOLOGY; NONHUMAN; PERSONALIZED MEDICINE; PRIORITY JOURNAL; PROTEOMICS; REPRODUCIBILITY; REVIEW; SENSITIVITY AND SPECIFICITY; TRANSCRIPTOMICS;

ANIMALS; BIOLOGICAL MARKERS; BIOMEDICAL RESEARCH; COMPUTATIONAL BIOLOGY; DATABASES, FACTUAL; GENE EXPRESSION PROFILING; HUMANS; PATHOLOGY, MOLECULAR;

HARNESS;

EID: 84864813894     PISSN: 18606768     EISSN: 18607314     Source Type: Journal    
DOI: 10.1002/biot.201100305     Document Type: Review

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